isIn = isEpipoleInImage(F,imageSize)
determines whether the first stereo image associated with the fundamental matrix
F contains an epipole. imageSize is the size of
the first image, and is in the format returned by the function size.
isIn = isEpipoleInImage(F',imageSize)
determines whether the second stereo image associated with the fundamental matrix
F' contains an epipole.
[isIn,epipole]
= isEpipoleInImage(___)
also returns the epipole.
Fundamental matrix, specified as a 3-by-3 matrix computed from stereo images.
F must be double or single. If
P1 represents a point in the first image
I1 that corresponds to
P2, a point in the second image
I2, then:
[P2,1] * F *
[P1,1]’ = 0
In computer vision, the fundamental matrix is a 3-by-3 matrix which relates
corresponding points in stereo images. When two cameras view a 3-D scene from two
distinct positions, there are a number of geometric relations between the 3-D points and
their projections onto the 2-D images that lead to constraints between the image points.
Two images of the same scene are related by epipolar geometry.
Image size, specified in the format returned by the size function.
Valid epipole logical, specified as true when the image contains
an epipole, and false when the image does not contain an
epipole.
When the image planes are at a great enough angle to each other, you can expect the
epipole to be located in the image.
When the image planes are at a more subtle angle to each other, you can
expect the epipole to be located outside of the image, (but still in the image plane).
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